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README.md
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---
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license: apache-2.0
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tags:
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- summarization
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: flan-t5-base-xsum-swe
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# flan-t5-base-xsum-swe
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4174
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- Rouge1: 20.3004
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- Rouge2: 6.2309
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- Rougel: 17.5863
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- Rougelsum: 17.5827
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- Gen Len: 18.9998
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
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| 1.8384 | 1.0 | 12751 | 1.6491 | 19.0409 | 5.1339 | 16.3642 | 16.3725 | 19.0 |
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| 1.6806 | 2.0 | 25502 | 1.5189 | 19.882 | 5.7451 | 17.1187 | 17.1233 | 19.0 |
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| 1.5961 | 3.0 | 38253 | 1.4575 | 20.237 | 6.1009 | 17.4642 | 17.4647 | 18.9998 |
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| 1.5556 | 4.0 | 51004 | 1.4268 | 20.2998 | 6.2217 | 17.5423 | 17.541 | 18.9998 |
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| 1.5429 | 5.0 | 63755 | 1.4174 | 20.3004 | 6.2309 | 17.5863 | 17.5827 | 18.9998 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.0+cu116
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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